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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Banking / Financial Services |
| Functional Area | General / Other Software,Sales / BD |
| EmploymentType | Full-time |
* Duties and Responsibilities - The Primary focus of this role is to develop and manage the different Vertical and business requirements. Drive and coordinate cross-functional projects with broad range of Loan Insurance and investment products owners engineers designers and other groups that may include architecting new data solutions Expand and refine data retrieval techniques to use our extensive product catalog and improve customer data quality This role is for machine learning and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills. Technical Interactions with vendor or partners in technical capacity for business/capability deliverables. Develops proof of concept to prove or disprove validity of concept. Work with cross functional team to integrate these models into larger solutions. Works collaboratively in a multi-disciplinary team environment; Establishes and maintains professional networks with subject matter experts. Strong empowerment and self-drive is a must. , * 1. PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field 2. 4+ years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive analytics solution development and deployment 3. Strong Problem-solving ability 4. Able to Write large and optimize SQL Code for data fetching and data querying. 5. Knowledge of Azure platform is required, an experience of Data Lake, Azure Data Bricks. 6. Should have strong experience in anyone or more programming languages Python or JAVA. 7. Experience in using Python, R, SAS or any other statistical software (plus other open-source libraries) 8. Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc. 9. Strong understanding of OOP design patterns and industry best practices. 10. Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment 11. Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark) 12. Strong communication and data presentation skills 13. Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms. 14. Strong hands-on nature (ability to self-code is a must). 15. Strong team player with exceptional program management.
Keyskills :
proof of conceptfilingdesign patternsdata solutionsfinancedata qualityitem response theorycustomer datamisbankingproblem solvingdata analyticsnbfc